import org.opensearch.transport.client.Client;

/**
 * SuggestBulkFileWriter is an implementation of the SuggestWriter interface.
 * This class is responsible for writing and deleting suggest items in bulk.
 *
 * <p>Currently, the methods in this class throw UnsupportedOperationException
 * as they are not yet implemented.</p>
 *
 * @see SuggestWriter
 */

        "custom_field": [1.0, 2.0, 3.0]
    }
    assert ta.json_schema() == snapshot(
        {
            "properties": {
                "custom_field": {
                    "items": {"type": "number"},
                    "title": "Custom Field",
                    "type": "array",
                }
            },
            "required": ["custom_field"],
            "title": "MyModel",

    openapi = app.openapi()
    body_model_name = get_body_model_name(openapi, path)

    assert app.openapi()["components"]["schemas"][body_model_name] == {
        "properties": {
            "p": {
                "items": {"type": "string"},
                "title": "P",
                "type": "array",
            },
        },
        "required": ["p"],
        "title": body_model_name,
        "type": "object",
    }

예를 들면, 여러분이 4개의 API 엔드포인트(*경로 작동*)를 가지고 있다고 해봅시다:

* `/items/public/`
* `/items/private/`
* `/users/{user_id}/activate`
* `/items/pro/`

그 다음 각각에 대해 그저 의존성과 하위 의존성을 사용하여 다른 권한 요구 사항을 추가할 수 있을 겁니다:

```mermaid
graph TB

current_user(["current_user"])
active_user(["active_user"])
admin_user(["admin_user"])
paying_user(["paying_user"])

public["/items/public/"]
private["/items/private/"]

For example, let's say you define a *path operation* `/items/`:

{* ../../docs_src/behind_a_proxy/tutorial001_01_py39.py hl[6] *}

If the client tries to go to `/items`, by default, it would be redirected to `/items/`.

But before setting the *CLI Option* `--forwarded-allow-ips` it could redirect to `http://localhost:8000/items/`.

                                    "schema": {
                                        "title": "Response 500 Valid2 Valid2 Get",
                                        "type": "array",
                                        "items": {"type": "integer"},
                                    }
                                }
                            },
                        },
                    },
                }
            },

                        "properties": {
                            "loc": {
                                "title": "Location",
                                "type": "array",
                                "items": {
                                    "anyOf": [{"type": "string"}, {"type": "integer"}]
                                },
                            },

                                        <td><c:forEach var="rt" varStatus="s"
                                                       items="${roleItems}">
                                            <c:forEach var="rtid" varStatus="s" items="${roles}">
                                                <c:if test="${rtid==rt.id}">
                                                    ${f:h(rt.name)}<br/>

And Python has a special data type for sets of unique items, the `set`.

Then we can declare `tags` as a set of strings:

{* ../../docs_src/body_nested_models/tutorial003_py310.py hl[12] *}

With this, even if you receive a request with duplicate data, it will be converted to a set of unique items.

And whenever you output that data, even if the source had duplicates, it will be output as a set of unique items.

        return encoded_dict
    if isinstance(obj, (list, set, frozenset, GeneratorType, tuple, deque)):
        encoded_list = []
        for item in obj:
            encoded_list.append(
                jsonable_encoder(
                    item,
                    include=include,
                    exclude=exclude,
                    by_alias=by_alias,
                    exclude_unset=exclude_unset,